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In-Person Oral presentation / top 25% paper
Wed May 03 01:00 AM -- 01:10 AM (PDT) @ Auditorium None
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
In Oral 5 Track 5: Deep Learning and representational learning & Reinforcement Learning
Anand Subramoney · Khaleelulla Khan Nazeer · Mark Schoene · Christian Mayr · David Kappel
In-Person Oral presentation / top 25% paper
Wed May 03 01:10 AM -- 01:20 AM (PDT) @ Auditorium None
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
In Oral 5 Track 5: Deep Learning and representational learning & Reinforcement Learning
Guangyi Chen · Weiran Yao · Xiangchen Song · Xinyue Li · Yongming Rao · Kun Zhang
In-Person Oral presentation / top 5% paper
Wed May 03 01:20 AM -- 01:30 AM (PDT) @ Auditorium None
Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness
In Oral 5 Track 5: Deep Learning and representational learning & Reinforcement Learning
Joel Dapello · Kohitij Kar · Martin Schrimpf · Robert Geary · Michael Ferguson · David Cox · James DiCarlo
In-Person Oral presentation / top 25% paper
Wed May 03 01:30 AM -- 01:40 AM (PDT) @ Auditorium None
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
In Oral 5 Track 5: Deep Learning and representational learning & Reinforcement Learning
Avrajit Ghosh · HE LYU · Xitong Zhang · Rongrong Wang
In-Person Oral presentation / top 25% paper
Wed May 03 01:40 AM -- 01:50 AM (PDT) @ Auditorium None
A Primal-Dual Framework for Transformers and Neural Networks
In Oral 5 Track 5: Deep Learning and representational learning & Reinforcement Learning
TAN NGUYEN · Tam Nguyen · Nhat Ho · Andrea Bertozzi · Richard Baraniuk · Stanley J Osher
In-Person Oral presentation / top 25% paper
Wed May 03 01:50 AM -- 02:00 AM (PDT) @ Auditorium None
Learning with Logical Constraints but without Shortcut Satisfaction
In Oral 5 Track 5: Deep Learning and representational learning & Reinforcement Learning
Zenan Li · Zehua Liu · Yuan Yao · Jingwei Xu · Taolue Chen · Xiaoxing Ma · Jian Lu
In-Person Oral presentation / top 25% paper
Wed May 03 02:00 AM -- 02:10 AM (PDT) @ Auditorium None
No Reason for No Supervision: Improved Generalization in Supervised Models
In Oral 5 Track 5: Deep Learning and representational learning & Reinforcement Learning
Mert Bulent Sariyildiz · Yannis Kalantidis · Karteek Alahari · Diane Larlus
[ Slides] 
In-Person Oral presentation / top 25% paper
Wed May 03 02:10 AM -- 02:20 AM (PDT) @ Auditorium None
Generating Diverse Cooperative Agents by Learning Incompatible Policies
In Oral 5 Track 5: Deep Learning and representational learning & Reinforcement Learning
Rujikorn Charakorn · Poramate Manoonpong · Nat Dilokthanakul